Denys Poshyvanyk

research

∙ 01/03/2023

An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation

Existing automated techniques for software documentation typically attem...

Kevin Moran, et al. ∙

research

∙ 01/03/2023

Translating Video Recordings of Complex Mobile App UI Gestures into Replayable Scenarios

Screen recordings of mobile applications are easy to obtain and capture ...

Carlos Bernal-Cárdenas, et al. ∙

research

∙ 06/17/2022

Using Transfer Learning for Code-Related Tasks

Deep learning (DL) techniques have been used to support several code-rel...

Antonio Mastropaolo, et al. ∙

research

∙ 03/22/2022

Enhancing Mobile App Bug Reporting via Real-time Understanding of Reproduction Steps

One of the primary mechanisms by which developers receive feedback about...

Mattia Fazzini, et al. ∙

research

∙ 01/18/2022

Using Pre-Trained Models to Boost Code Review Automation

Code review is a practice widely adopted in open source and industrial p...

Rosalia Tufano, et al. ∙

research

∙ 08/03/2021

An Empirical Study on the Usage of Transformer Models for Code Completion

Code completion aims at speeding up code writing by predicting the next ...

Matteo Ciniselli, et al. ∙

research

∙ 07/15/2021

Why Crypto-detectors Fail: A Systematic Evaluation of Cryptographic Misuse Detection Techniques

The correct use of cryptography is central to ensuring data security in ...

Amit Seal Ami, et al. ∙

research

∙ 03/12/2021

An Empirical Study on the Usage of BERT Models for Code Completion

Code completion is one of the main features of modern Integrated Develop...

Matteo Ciniselli, et al. ∙

research

∙ 02/13/2021

Systematic Mutation-based Evaluation of the Soundness of Security-focused Android Static Analysis Techniques

Mobile application security has been a major area of focus for security ...

Amit Seal Ami, et al. ∙

research

∙ 02/12/2021

μSE: Mutation-based Evaluation of Security-focused Static Analysis Tools for Android

This demo paper presents the technical details and usage scenarios of μS...

Amit Seal Ami, et al. ∙

research

∙ 02/03/2021

Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks

Deep learning (DL) techniques are gaining more and more attention in the...

Antonio Mastropaolo, et al. ∙

research

∙ 01/22/2021

It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports

When a bug manifests in a user-facing application, it is likely to be ex...

Nathan Cooper, et al. ∙

research

∙ 01/07/2021

Towards Automating Code Review Activities

Code reviews are popular in both industrial and open source projects. Th...

Rosalia Tufano, et al. ∙

research

∙ 09/17/2020

Deep Learning Software Engineering: State of Research and Future Directions

Given the current transformative potential of research that sits at the ...

Prem Devanbu, et al. ∙

research

∙ 09/14/2020

A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research

An increasingly popular set of techniques adopted by software engineerin...

Cody Watson, et al. ∙

research

∙ 05/18/2020

Translating Video Recordings of Mobile App Usages into Replayable Scenarios

Screen recordings of mobile applications are easy to obtain and capture ...

Carlos Bernal-Cárdenas, et al. ∙

research

∙ 05/18/2020

Improving the Effectiveness of Traceability Link Recovery using Hierarchical Bayesian Networks

Traceability is a fundamental component of the modern software developme...

Kevin Moran, et al. ∙

research

∙ 02/13/2020

On Learning Meaningful Assert Statements for Unit Test Cases

Software testing is an essential part of the software lifecycle andrequi...

Cody Watson, et al. ∙

research

∙ 02/12/2020

DeepMutation: A Neural Mutation Tool

Mutation testing can be used to assess the fault-detection capabilities ...

Michele Tufano, et al. ∙

research

∙ 08/01/2019

Learning to Identify Security-Related Issues Using Convolutional Neural Networks

Software security is becoming a high priority for both large companies a...

David N. Palacio, et al. ∙

research

∙ 08/01/2019

Learning to Identify Security-RelatedIssues Using Convolutional Neural Networks

Software security is becoming a high priority for both large companies a...

David N. Palacio, et al. ∙

research

∙ 06/29/2019

Helion: Enabling a Natural Perspective of Home Automation

Security researchers have recently discovered significant security and s...

Sunil Manandhar, et al. ∙

research

∙ 06/17/2019

Assessing the Quality of the Steps to Reproduce in Bug Reports

A major problem with user-written bug reports, indicated by developers a...

Oscar Chaparro, et al. ∙

research

∙ 01/25/2019

On Learning Meaningful Code Changes via Neural Machine Translation

Recent years have seen the rise of Deep Learning (DL) techniques applied...

Michele Tufano, et al. ∙

research

∙ 01/03/2019

Guigle: A GUI Search Engine for Android Apps

The process of developing a mobile application typically starts with the...

Carlos Bernal-Cárdenas, et al. ∙

research

∙ 12/27/2018

Learning How to Mutate Source Code from Bug-Fixes

Mutation testing has been widely accepted as an approach to guide test c...

Michele Tufano, et al. ∙

research

∙ 12/24/2018

SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair

This paper presents a novel end-to-end approach to program repair based ...

Zimin Chen, et al. ∙

research

∙ 12/20/2018

An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation

Millions of open-source projects with numerous bug fixes are available i...

Michele Tufano, et al. ∙

research

∙ 12/04/2018

A Study of Data Store-based Home Automation

Home automation platforms provide a new level of convenience by enabling...

Kaushal Kafle, et al. ∙

research

∙ 07/25/2018

Detecting and Summarizing GUI Changes in Evolving Mobile Apps

Mobile applications have become a popular software development domain in...

Kevin Moran, et al. ∙

research

∙ 07/23/2018

Assessing Test Case Prioritization on Real Faults and Mutants

Test Case Prioritization (TCP) is an important component of regression t...

Qi Luo, et al. ∙

research

∙ 07/18/2018

Overcoming Language Dichotomies: Toward Effective Program Comprehension for Mobile App Development

Mobile devices and platforms have become an established target for moder...

Kevin Moran, et al. ∙

research

∙ 06/26/2018

How Do Static and Dynamic Test Case Prioritization Techniques Perform on Modern Software Systems? An Extensive Study on GitHub Projects

Test Case Prioritization (TCP) is an increasingly important regression t...

Qi Luo, et al. ∙

research

∙ 06/26/2018

Discovering Flaws in Security-Focused Static Analysis Tools for Android using Systematic Mutation

Mobile application security has been one of the major areas of security ...

Richard Bonett, et al. ∙

research

∙ 02/13/2018

MDroid+: A Mutation Testing Framework for Android

Mutation testing has shown great promise in assessing the effectiveness ...

Kevin Moran, et al. ∙

research

∙ 02/13/2018

Automated Reporting of GUI Design Violations for Mobile Apps

The inception of a mobile app often takes form of a mock-up of the Graph...

Kevin Moran, et al. ∙

research

∙ 02/07/2018

Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps

It is common practice for developers of user-facing software to transfor...

Kevin Moran, et al. ∙

research

∙ 01/19/2018

Mining Android App Usages for Generating Actionable GUI-based Execution Scenarios

GUI-based models extracted from Android app execution traces, events, or...

Mario Linares-Vásquez, et al. ∙

research

∙ 01/19/2018

How do Developers Test Android Applications?

Enabling fully automated testing of mobile applications has recently bec...

Mario Linares-Vásquez, et al. ∙

research

∙ 01/19/2018

Continuous, Evolutionary and Large-Scale: A New Perspective for Automated Mobile App Testing

Mobile app development involves a unique set of challenges including dev...

Mario Linares-Vásquez, et al. ∙

research

∙ 01/18/2018

FUSION: A Tool for Facilitating and Augmenting Android Bug Reporting

As the popularity of mobile smart devices continues to climb the complex...

Kevin Moran, et al. ∙

research

∙ 01/18/2018

CrashScope: A Practical Tool for Automated Testing of Android Applications

Unique challenges arise when testing mobile applications due to their pr...

Kevin Moran, et al. ∙

research

∙ 01/18/2018

On-Device Bug Reporting for Android Applications

Bugs that surface in mobile applications can be difficult to reproduce a...

Kevin Moran, et al. ∙

research

∙ 01/18/2018

A Large-Scale Empirical Comparison of Static and Dynamic Test Case Prioritization Techniques

The large body of existing research in Test Case Prioritization (TCP) te...

Qi Luo, et al. ∙

research

∙ 07/27/2017

Enabling Mutation Testing for Android Apps

Mutation testing has been widely used to assess the fault-detection effe...

Mario Linares-Vásquez, et al. ∙

Denys Poshyvanyk

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